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In particular, these results question the statistical relevance of the 'oracle' property of the adaptive LASSO estimator established in Zou [2006. The adaptive LASSO and its oracle properties. J. Amer. Statist. Assoc. 101, 1418 1429].
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Fundamental performance limitations of the estimator are established based on the variance of the estimation error in relation to the message loss process.
Least squares estimation is derived, and the asymptotic distribution of the proposed estimator is established.
First, the uniform almost sure consistency of this estimator is established.
The azimuth velocity estimator is established by using an SDFP bank.
The consistency and asymptotic normality of the constrained estimator are established.
Bounds on strong convergences of the Hill-type estimator are established under second-order regularly varying conditions.
The improvement of controller performances of a light helicopter by using low-cost (noise) sensors and a wind gusts estimator is established.
In this paper, the design methods and fundamental performance analysis of an adaptive peer-to-peer estimator are established for networks exhibiting message losses.
Asymptotic normality of the proposed estimator is established when the number of species in the population is finite and known, finite but unknown, and infinite.
Consistency and asymptotic normality of the estimators are established and the robustness and small sample performance of the estimators are illustrated using simulations.
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